code: def test_transformation_to_gpyopt_domain_log_discrete():
      parameters = [sherpa.Discrete("a", [1, 100], "log")]
      with pytest.warns(
          UserWarning, match="does not support log-scale"
      ):
          GPyOpt._initialize_domain(parameters)
  
imports: import sherpa
  import pandas
  import pytest
  import numpy
  import collections
  import GPyOpt
  from sherpa.algorithms.bayesian_optimization import GPyOpt
  from sherpa.algorithms import Repeat
label_desc: Use image node_id 10 for calling a global function with example usage: test_transformation_to_gpyopt_domain_log_discrete() without return types